Image Compression using HAAR Wavelet Transform andDiscrete Cosine Transform
Volume: 5 - Issue: 06 - Date: 01-06-2016
Approved ISSN: 2278-1412
Published Id: IJAECESTU280 | Page No.: 1045-1047
Author: Neha Gupta
Co- Author: Pragya Tiwari
Abstract:-The main objective of the strategy is to produce the attention-grabbing a part of the
medical image on that completely different treatment is to be enforced. Medical imaging is on the
simplest technique for observation the patient health condition. CT or magnetic resonance
imaging medical imaging produce digital kind of physical body photos. There exists a desire for
compression of those pictures for storage and communication functions. Current compression
schemes offer a really high compression rate with a substantial loss of quality. In medication, it's
necessary to possess high image quality in region of interest, i.e. diagnostically necessary regions.
This work discusses a hybrid model of lossless compression in region of interest with high
compression rate, lossy compression in different regions. In medical image once some portion of
image is to be selected, and then ROI is chosen with the assistance of discrete cosine transform.
It’s used with the ROI method to compress the medical image to get rid of the interference result
Key Words:-PSNR, MSE, Haar Wavelet Transform, Discrete Cosine Transform, Region of Interest.
Area:-Engineering
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